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Investment Age and Dynamic Productivity Growth in the Spanish Food Processing Industry

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  • Magdalena Kapelko
  • Alfons Oude Lansink
  • Spiro E. Stefanou

Abstract

This article analyzes the relation between investment age, measured as the number of years since investment spike, and dynamic productivity growth and its components, which include dynamic technical change, dynamic inefficiency change, and dynamic scale inefficiency change. The empirical application focuses on firm-level data for the Spanish food processing industry covering the period from 1996 to 2011. This investigation of the impact of firms' investment decisions on productivity growth employs a dynamic production framework and analyzes the impact of these decisions on the components of dynamic productivity growth. Our findings show that dynamic productivity growth is negatively affected by investment spikes in both the meat processing and oils and fats industries, and that dynamic inefficiency change initially falls just after the infusion of large investment for oils and fats firms, but then grows as the firms acquire experience with this investment. We further find that investment spikes lead to improvements in dynamic technical change and worsening in dynamic technical inefficiency change in the meat processing industry, while dynamic scale inefficiency change was negatively impacted in both industries.

Suggested Citation

  • Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2016. "Investment Age and Dynamic Productivity Growth in the Spanish Food Processing Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(3), pages 946-961.
    • Handle: RePEc:oup:ajagec:v:98:y:2016:i:3:p:946-961.
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    File URL: http://hdl.handle.net/10.1093/ajae/aav063
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    Cited by:

    1. Fabienne Femenia & Laure Latruffe & Jean-Paul Chavas, 2021. "Responsiveness of farm investment to price changes: evidence from the French crop sector," Applied Economics, Taylor & Francis Journals, vol. 53(34), pages 3972-3983, July.
    2. Magdalena Kapelko & Alfons Oude Lansink & Encarna Guillamon‐Saorin, 2021. "Corporate social responsibility and dynamic productivity change in the US food and beverage manufacturing industry," Agribusiness, John Wiley & Sons, Ltd., vol. 37(2), pages 286-305, April.
    3. Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2020. "Endogenous dynamic efficiency in the intertemporal optimization models of firm behavior," European Journal of Operational Research, Elsevier, vol. 284(1), pages 313-324.
    4. Magdalena Kapelko, 2019. "Measuring productivity change accounting for adjustment costs: evidence from the food industry in the European Union," Annals of Operations Research, Springer, vol. 278(1), pages 215-234, July.
    5. Juan Aparicio & Magdalena Kapelko & Bernhard Mahlberg & Jose L. Sainz-Pardo, 2017. "Measuring input-specific productivity change based on the principle of least action," Journal of Productivity Analysis, Springer, vol. 47(1), pages 17-31, February.
    6. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2017. "Input-Specific Dynamic Productivity Change: Measurement and Application to European Dairy Manufacturing Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 579-599, June.
    7. Ali, Beshir M. & de Mey, Yann & Oude Lansink, Alfons G.J.M., 2021. "The effect of farm genetics expenses on dynamic productivity growth," European Journal of Operational Research, Elsevier, vol. 290(2), pages 701-717.
    8. Pinar Celikkol Geylani & Magdalena Kapelko & Spiro E. Stefanou, 2021. "Dynamic productivity change differences between global and non-global firms: a firm-level application to the U.S. food and beverage industries," Operational Research, Springer, vol. 21(2), pages 901-923, June.
    9. Tsionas, Mike & Patel, Pankaj C. & Guedes, Maria João, 2022. "Endogenous efficiency of the dynamic profit maximization in the intertemporal production models of venture behavior," International Journal of Production Economics, Elsevier, vol. 246(C).
    10. Piotr Borawski & Aneta Beldycka-Borawska & Adam Pawlewicz & Jayson K. Harper & Bogdan Klepacki & Agnieszka Brelik & Ireneusz Zuchowski, 2020. "Impact of New Member Accession to the European Union on Food Trade," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 149-159.
    11. Ioannis Skevas, 2023. "A novel modeling framework for quantifying spatial spillovers on total factor productivity growth and its components," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1221-1247, August.
    12. Loic Levi & Obafemi Philippe Koutchade & Laure Latruffe & Aude Ridier, 2018. "Spatial effects in investment decisions: Evidence from French dairy farms," Post-Print hal-02024077, HAL.
    13. Lin Gan & Takahashi Yoshifumi & Nomura Hisako & Yabe Mitsuyasu, 2024. "The short‐ and long‐term impacts of overinvestments on the profitability of agri‐food processing firms in China," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 227-247, January.
    14. Femenia, Fabienne & Latruffe, Laure & Chavas, Jean-Paul, 2017. "Responsiveness of farm investment to price changes: An empirical study of the French crop sector," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261421, European Association of Agricultural Economists.
    15. Theodoros Skevas & Jasper Grashuis, 2023. "Evaluating dynamic productivity change of US farm supply cooperatives," Agribusiness, John Wiley & Sons, Ltd., vol. 39(4), pages 1238-1253, October.
    16. Chieh-Wen Chang & Kun-Shan Wu & Bao-Guang Chang & Kuo-Ren Lou, 2019. "Measuring Technical Efficiency and Returns to Scale in Taiwan’s Baking Industry―A Case Study of the 85 °C Company," Sustainability, MDPI, vol. 11(5), pages 1-14, February.

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